Discover insights, tutorials, and updates about web crawling, data extraction, and how to make the most of WaterCrawl.
AI is moving from LLMs (language generators) to RAG (retrieval-grounded systems) to AI Agents (autonomous, tool-using workflows). Each stage builds on the last—LLMs provide fluency, RAG adds accuracy with external knowledge, and Agents...
AI agents become powerful not just through language models but through the tools they use. Tools let agents fetch real-time data, automate tasks, and interact with external systems—from booking flights to generating visuals....
AI agents in 2025 are smarter than ever, with open-source frameworks powering automation, research, and real-world apps. 🛠️ From LangChain’s all-round power to Dify’s low-code magic, there’s a tool for every developer, team, or...
Chunking is the hidden lever behind effective RAG. Split text too small, you lose context; too large, you add noise. In this episode, we compare fixed-size, recursive, and semantic chunking—highlighting their trade-offs and...
🚀 In 2025, pre-built RAG platforms have evolved from experiments into full-stack enterprise AI solutions. From Elastic’s stability to Contextual AI’s innovation, here are the standout platforms shaping the future of Retrieval-Augmented Generation.
Retrieval-Augmented Generation (RAG) depends on effective search. BM25 offers fast, keyword-based precision, while Semantic Search uses embeddings to capture meaning and context. Hybrid Search blends both approaches,combining exact matches with semantic understanding.to deliver...
Bi-encoders are fast and scalable, perfect for large-scale retrieval, while cross-encoders provide precise scoring but at higher cost. Modern RAG pipelines combine the two.bi-encoders for recall, cross-encoders for reranking.to balance speed, scale, and accuracy.
AI agents are redefining 2025, moving beyond chatbots to autonomous helpers that plan, learn, and act. While challenges like reliability, bias, and security remain, breakthroughs in reasoning, multi-agent systems, and governance tools are...
Character Error Rate (CER) is a simple yet powerful metric to evaluate OCR, handwriting, and speech-to-text quality at the character level. This guide breaks down how CER works, why it matters, how to...